Julin Maloof

The paper evaluates how well leaf spectra can recover Farquhar-von Caemmerer-Berry parameters using deep learning, finding limited transferability across datasets but consistency within species.

This study uses hyperspectral data and network analysis to show how plant populations adapt to climate change through coordinated trait networks rather than isolated traits.

This study examines adaptational lag in high elevation populations of a wildflower, finding that survival and reproduction vary with life stage and climatic distance from the site of origin.

The paper uses herbarium specimens to show that closely related wildflower species, despite occupying diverse annual climates, track similar seasonal climate conditions through phenological shifts and spatial refugia.

The paper uses herbarium specimens to reconstruct climate conditions and assess their impact on phenology and reproduction across a plant clade, finding precipitation onset and amount best predict phenology but weakly predict reproduction.

The paper identifies ancestral reproductive roles of LEAFY in the gametophyte of the fern Ceratopteris richardii, not in the sporophyte, through over-expression experiments.

The study examines how delayed rain onset affects germination timing and fitness in ten wildflower species, finding species-specific responses to climate change.

This paper presents a chromosome-level genome assembly of Streptanthus diversifolius, revealing a recent whole genome duplication in the Thelypodieae tribe.

The paper assembles the genome of Notholithocarpus densiflorus and identifies genetic variation across 11 individuals with varying susceptibility to sudden oak death.

The paper integrates transcriptomic network reconstruction and QTL analyses to uncover mechanistic links between genomic architecture and Brassica rapa development in field settings.

This paper uses RNA-seq data to improve Brassica rapa genome assembly, correct misassemblies, and create a high-density genetic map for QTL analysis.

This study identifies 7,200 eQTL regulating transcript levels of 5,300 genes in tomato, revealing complex genetic architecture and associations with biological processes and phenotypes.

The paper identifies auxin signaling and cell wall expansion genes as key factors in natural variation of shade avoidance in tomato, linking them to growth plasticity and QTL effects on stem elongation and developmental rate.

This study shows that shade avoidance in tomato plants alters leaf shape through changes in gene expression related to indeterminacy, not through juvenile leaf type prolongation.